This is an important hard instance that appears in many lower bounds [1]}. We will show that in this case, the \(d\) -dimensional stochastic contextual bandits can be reduced to a linear bandit problem with no misspecification, although the distribution \(\mathcal {D}\)  is unknown, but where now the parameter vector is over \(2d\)  dimensions.
